// Copyright (c) 2023 Huawei Technologies Co., Ltd
// Copyright (c) 2019, Facebook CORPORATION.
// All rights reserved.
//
// Licensed under the BSD 3-Clause License  (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#include "op_plugin/AclOpsInterface.h"
#include "op_plugin/utils/OpAdapter.h"

namespace acl_op {

using npu_preparation = at_npu::native::OpPreparation;

at::Tensor trace(const at::Tensor &self)
{
  TORCH_CHECK(self.dim() == 2, "trace: expected a matrix, but got tensor with dim ", self.dim());
  c10::SmallVector<int64_t, N> outputSize = {};
  auto outDtype = (isIntegralType(self.scalar_type(), true)) ? at::kLong : self.scalar_type();
  at::Tensor result = npu_preparation::apply_tensor(outputSize, self.options().dtype(outDtype), self);
  at_npu::native::OpCommand cmd;
  cmd.Name("Trace")
    .Input(self)
    .Output(result)
    .Run();
  return result;
}

} // namespace op_plugin

